Discover what's new in the Neo4j community for the week of 24 February 2018, including a Reddit AMA on Russian Twitter Trolls, Machine Learning with Graph Databases, a Reddcoin Graph, and more.

1. This Week in Neo4j
24th February 2018

2. The week's graph database news
in one handy slide deck!

3. Featured community member: Tom Zeppenfeldt
Learn more about Tom

4. Reddit AMA: Russian Twitter Trolls
Read the Reddit AMA
My colleagues Will Lyon and David Allen participated in a
Reddit AMA about the Russian Twitter Trolls with NBC’s
Ben Popken. In the session they explain their favourite
findings, interesting Russian-isms in the data, and their
hopes that other platforms will open up their
data to allow similar analysis there as well.

5. An introduction to machine learning on graph databases
We’ve seen a lot of interest in graph based machine
learning, so I was excited to come across a blog post
written by David Mack in which he connects Neo4j with the
Keras neural network library.
Learn about graph based machine learning

6. University of Washington Knowledge Navigator
Jennifer Zaino explains how The University of Washington
built a Knowledge Navigator using Neo4j to help with the
migration of their HR system to the
cloud.
Read more about The Knowledge Navigator

7. The Reddcoin Community Graph
Johannes Unterstein has built a community graph out of
the ReddCoin Twitter Tipbot usage. Reddcoin is a crypto
currency that aims to enrich people’s social lives and make
digital currency easy for the general public.
Learn about The Reddcoin Community Graph

8. Paradise papers analysis with Neo4j
Explore the Paradise Papers
Tomaz Bratanic has written a post in which he shows how
to analyse the Paradise Papers using Neo4j’s graph
algorithms library. Tomaz shows how to use PageRank,
weakly connected components, and
more to explore the sub graph of
officers with a Swiss address.

9. If you liked this check out the blog post
neo4j.com/blog/this-week-neo4j-reddit-ama-neo4j-ogm-reddcoin-graph-graph-based-machine-learning/